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Protein Organization01:24

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Cloud4Psi: cloud computing for 3D protein structure similarity searching.

Dariusz Mrozek1, Bożena Małysiak-Mrozek1, Artur Kłapciński1

  • 1Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.

Bioinformatics (Oxford, England)
|June 16, 2014
PubMed
Summary
This summary is machine-generated.

Cloud4Psi offers a scalable cloud-based solution for 3D protein structure similarity searching. This system accelerates time-consuming methods like Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) using cloud computing resources.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Cloud Computing Applications

Background:

  • 3D protein structure similarity searching is crucial for understanding protein function and evolution.
  • Existing methods like Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are computationally intensive.
  • The need for significant computational resources limits the application of these methods to large structural databases.

Purpose of the Study:

  • To develop a scalable, cloud-based system for accelerating 3D protein structure similarity searching.
  • To overcome the computational limitations of traditional similarity searching algorithms.
  • To provide a flexible and cost-effective solution using cloud computing.

Main Methods:

  • Development of Cloud4Psi (Cloud for Protein Similarity), a cloud-based system for protein similarity searching.
  • Implementation of vertical and horizontal scaling capabilities for the similarity searching process.
  • Testing and validation of the system within the Microsoft Azure cloud environment.

Main Results:

  • Cloud4Psi demonstrated significant acceleration of 3D protein structure similarity searching.
  • The system achieved near-linear performance improvement when scaled across multiple computational units.
  • The cloud-based approach effectively addresses the computational demands of searching large structural repositories.

Conclusions:

  • Cloud4Psi provides an efficient and scalable solution for 3D protein structure similarity searching.
  • The system leverages cloud computing to overcome the time and resource constraints of existing methods.
  • Cloud4Psi offers a practical approach for researchers needing to analyze large protein structure datasets.